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Jevgenij Gamper
Jevgenij Gamper
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Cited by
Year
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
S Graham, H Chen, J Gamper, Q Dou, PA Heng, D Snead, YW Tsang, ...
Medical image analysis 52, 199-211, 2019
2942019
Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification
J Gamper, N Alemi Koohbanani, K Benet, A Khuram, N Rajpoot
Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019
1802019
Pannuke dataset extension, insights and baselines
J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ...
arXiv preprint arXiv:2003.10778, 2020
170*2020
Multiple instance captioning: Learning representations from histopathology textbooks and articles
J Gamper, N Rajpoot
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
502021
Exoplanet validation with machine learning: 50 new validated Kepler planets
DJ Armstrong, J Gamper, T Damoulas
Monthly Notices of the Royal Astronomical Society 504 (4), 5327-5344, 2021
362021
Meta-svdd: Probabilistic meta-learning for one-class classification in cancer histology images
J Gamper, B Chan, YW Tsang, D Snead, N Rajpoot
arXiv preprint arXiv:2003.03109, 2020
72020
European Congress on Digital Pathology
J Gamper, NA Koohbanani, K Benes, A Khuram, N Rajpoot
Springer, 2019
72019
PanNuke dataset extension, insights and baselines (2020)
J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ...
Preprint at, 2003
72003
AI ethics for systemic issues: A structural approach
AS van der Loeff, I Bassi, S Kapila, J Gamper
arXiv preprint arXiv:1911.03216, 2019
62019
Significance of hyperparameter optimization for metastasis detection in breast histology images
NA Koohbanani, T Qaisar, M Shaban, J Gamper, N Rajpoot
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
62018
Multi-task learning in histo-pathology for widely generalizable model
J Gamper, NA Kooohbanani, N Rajpoot
arXiv preprint arXiv:2005.08645, 2020
52020
Conditional denoising of remote sensing imagery using cycle-consistent deep generative models
M Zotov, J Gamper
arXiv preprint arXiv:1910.14567, 2019
42019
Predicting landsat reflectance with deep generative fusion
S Bouabid, M Chernetskiy, M Rischard, J Gamper
arXiv preprint arXiv:2011.04762, 2020
32020
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
D Šeputis, J Gamper, R Paulavičius
arXiv preprint arXiv:2208.08623, 2022
12022
Offline assessment of interference effects in a series of AB tests
A Reklaitė, J Gamper
Proceedings of the 26th International Conference on Evaluation and …, 2022
12022
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